Bank Customer Data

Dataset statistics

Number of variables	44
Number of observations	50
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	79.3 KiB
Average record size in memory	1.6 KiB

Variable types

Categorical	21
Numeric	18
Boolean	5

Alerts

`Age` is highly overall correlated with `Customer_ID`	High correlation
`Residence_Years` is highly overall correlated with `Customer_ID`	High correlation
`Monthly_Income` is highly overall correlated with `Spending_to_Income_Ratio` and 3 other fields	High correlation
`Experience_Years` is highly overall correlated with `Customer_ID`	High correlation
`Monthly_Spending` is highly overall correlated with `Spending_to_Income_Ratio` and 1 other fields	High correlation
`Savings_Balance` is highly overall correlated with `Customer_ID`	High correlation
`Credit_Amount` is highly overall correlated with `Loan_to_Income_Ratio` and 1 other fields	High correlation
`Installment_Rate` is highly overall correlated with `Customer_ID`	High correlation
`Account_Tenure_Months` is highly overall correlated with `Customer_ID`	High correlation
`Monthly_Transactions_Count` is highly overall correlated with `Customer_ID` and 1 other fields	High correlation
`Avg_Transaction_Value` is highly overall correlated with `Customer_ID`	High correlation
`Number_Credit_Inquiries_6mo` is highly overall correlated with `Customer_ID`	High correlation
`Credit_Limit` is highly overall correlated with `Credit_Utilization_Ratio` and 2 other fields	High correlation
`Revolving_Balance` is highly overall correlated with `Credit_Utilization_Ratio` and 1 other fields	High correlation
`Spending_to_Income_Ratio` is highly overall correlated with `Monthly_Income` and 2 other fields	High correlation
`Loan_to_Income_Ratio` is highly overall correlated with `Monthly_Income` and 3 other fields	High correlation
`Credit_Utilization_Ratio` is highly overall correlated with `Credit_Limit` and 2 other fields	High correlation
`Behavioral_Score` is highly overall correlated with `Customer_ID`	High correlation
`Customer_ID` is highly overall correlated with `Age` and 42 other fields	High correlation
`Gender` is highly overall correlated with `Credit_Limit` and 1 other fields	High correlation
`Marital_Status` is highly overall correlated with `Monthly_Transactions_Count` and 1 other fields	High correlation
`Dependents` is highly overall correlated with `Customer_ID`	High correlation
`Education_Level` is highly overall correlated with `Customer_ID`	High correlation
`Employment_Status` is highly overall correlated with `Customer_ID`	High correlation
`Job_Type` is highly overall correlated with `Customer_ID`	High correlation
`Loan_Purpose` is highly overall correlated with `Customer_ID`	High correlation
`Credit_Card_Usage` is highly overall correlated with `Customer_ID`	High correlation
`Payment_History` is highly overall correlated with `Customer_ID`	High correlation
`Other_Loans` is highly overall correlated with `Customer_ID`	High correlation
`Default_History` is highly overall correlated with `Customer_ID`	High correlation
`Checking_Account_Status` is highly overall correlated with `Customer_ID`	High correlation
`Savings_Account_Status` is highly overall correlated with `Customer_ID`	High correlation
`Property` is highly overall correlated with `Customer_ID`	High correlation
`Housing` is highly overall correlated with `Customer_ID`	High correlation
`Foreign_Worker` is highly overall correlated with `Customer_ID`	High correlation
`Mobile_Banking_Active` is highly overall correlated with `Customer_ID`	High correlation
`Auto_Pay_Enabled` is highly overall correlated with `Customer_ID`	High correlation
`Num_Products_With_Bank` is highly overall correlated with `Customer_ID`	High correlation
`Insurance_Coverage` is highly overall correlated with `Customer_ID`	High correlation
`Financial_Literacy_Score` is highly overall correlated with `Customer_ID`	High correlation
`Region` is highly overall correlated with `Customer_ID`	High correlation
`Employment_Industry` is highly overall correlated with `Customer_ID`	High correlation
`Days_Since_Last_Default` is highly overall correlated with `Customer_ID`	High correlation
`Credit_Risk` is highly overall correlated with `Monthly_Income` and 2 other fields	High correlation
`Default_History` is highly imbalanced (59.8%)	Imbalance
`Days_Since_Last_Default` is highly imbalanced (52.2%)	Imbalance
`Customer_ID` is uniformly distributed	Uniform
`Customer_ID` has unique values	Unique
`Monthly_Income` has unique values	Unique
`Monthly_Spending` has unique values	Unique
`Savings_Balance` has unique values	Unique
`Credit_Amount` has unique values	Unique
`Installment_Rate` has unique values	Unique
`Avg_Transaction_Value` has unique values	Unique
`Credit_Limit` has unique values	Unique
`Revolving_Balance` has unique values	Unique
`Loan_to_Income_Ratio` has unique values	Unique
`Experience_Years` has 1 (2.0%) zeros	Zeros
`Number_Credit_Inquiries_6mo` has 7 (14.0%) zeros	Zeros

Reproduction

Analysis started	2025-10-11 16:34:01.133871
Analysis finished	2025-10-11 16:35:01.433522
Duration	1 minute and 0.3 seconds
Software version	pandas-profiling v0.0.dev0
Download configuration	config.json

Customer_ID
Categorical

HIGH CORRELATION UNIFORM UNIQUE

Distinct	50
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	3.1 KiB

C001	1
C038	1
C028	1
C029	1
C030	1
Other values (45)	45

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	200
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	50 ?
Unique (%)	100.0%

Sample

1st row	C001
2nd row	C002
3rd row	C003
4th row	C004
5th row	C005

Common Values

Value	Count	Frequency (%)
C001	1	2.0%
C038	1	2.0%
C028	1	2.0%
C029	1	2.0%
C030	1	2.0%
C031	1	2.0%
C032	1	2.0%
C033	1	2.0%
C034	1	2.0%
C035	1	2.0%
Other values (40)	40	80.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
c001	1	2.0%
c012	1	2.0%
c024	1	2.0%
c003	1	2.0%
c004	1	2.0%
c005	1	2.0%
c006	1	2.0%
c007	1	2.0%
c008	1	2.0%
c009	1	2.0%
Other values (40)	40	80.0%

Most occurring characters

Value	Count	Frequency (%)
0	64	32.0%
C	50	25.0%
1	15	7.5%
3	15	7.5%
2	15	7.5%
4	15	7.5%
5	6	3.0%
8	5	2.5%
9	5	2.5%
6	5	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	150	75.0%
Uppercase Letter	50	25.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	64	42.7%
1	15	10.0%
3	15	10.0%
2	15	10.0%
4	15	10.0%
5	6	4.0%
8	5	3.3%
9	5	3.3%
6	5	3.3%
7	5	3.3%

Uppercase Letter

Value	Count	Frequency (%)
C	50	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	150	75.0%
Latin	50	25.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	64	42.7%
1	15	10.0%
3	15	10.0%
2	15	10.0%
4	15	10.0%
5	6	4.0%
8	5	3.3%
9	5	3.3%
6	5	3.3%
7	5	3.3%

Latin

Value	Count	Frequency (%)
C	50	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	200	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	64	32.0%
C	50	25.0%
1	15	7.5%
3	15	7.5%
2	15	7.5%
4	15	7.5%
5	6	3.0%
8	5	2.5%
9	5	2.5%
6	5	2.5%

Age
Real number (ℝ)

Distinct	33
Distinct (%)	66.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	42.76

Minimum	22
Maximum	64
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	528.0 B

Quantile statistics

Minimum	22
5-th percentile	22.45
Q1	32.5
median	42.5
Q3	52.25
95-th percentile	63.55
Maximum	64
Range	42
Interquartile range (IQR)	19.75

Descriptive statistics

Standard deviation	12.846917
Coefficient of variation (CV)	0.30044239
Kurtosis	-0.99944326
Mean	42.76
Median Absolute Deviation (MAD)	10.5
Skewness	0.051889726
Sum	2138
Variance	165.04327
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
59	3	6.0%
44	3	6.0%
64	3	6.0%
22	3	6.0%
41	3	6.0%
48	2	4.0%
42	2	4.0%
23	2	4.0%
29	2	4.0%
31	2	4.0%
Other values (23)	25	50.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
22	3	6.0%
23	2	4.0%
24	1	2.0%
27	1	2.0%
28	1	2.0%
29	2	4.0%
31	2	4.0%
32	1	2.0%
34	1	2.0%
35	2	4.0%

Value	Count	Frequency (%)
64	3	6.0%
63	1	2.0%
62	1	2.0%
60	1	2.0%
59	3	6.0%
58	1	2.0%
57	1	2.0%
56	1	2.0%
53	1	2.0%
50	1	2.0%

Gender
Categorical

Distinct	2
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Female	33
Male	17

Length

Max length	6
Median length	6
Mean length	5.32
Min length	4

Characters and Unicode

Total characters	266
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Male
2nd row	Female
3rd row	Male
4th row	Female
5th row	Male

Common Values

Value	Count	Frequency (%)
Female	33	66.0%
Male	17	34.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
female	33	66.0%
male	17	34.0%

Most occurring characters

Value	Count	Frequency (%)
e	83	31.2%
a	50	18.8%
l	50	18.8%
F	33	12.4%
m	33	12.4%
M	17	6.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	216	81.2%
Uppercase Letter	50	18.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	83	38.4%
a	50	23.1%
l	50	23.1%
m	33	15.3%

Uppercase Letter

Value	Count	Frequency (%)
F	33	66.0%
M	17	34.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	266	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	83	31.2%
a	50	18.8%
l	50	18.8%
F	33	12.4%
m	33	12.4%
M	17	6.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	266	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	83	31.2%
a	50	18.8%
l	50	18.8%
F	33	12.4%
m	33	12.4%
M	17	6.4%

Marital_Status
Categorical

Distinct	4
Distinct (%)	8.0%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Married	23
Single	22
Divorced	4
Widowed	1

Length

Max length	8
Median length	7
Mean length	6.64
Min length	6

Characters and Unicode

Total characters	332
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	2.0%

Sample

1st row	Single
2nd row	Married
3rd row	Single
4th row	Married
5th row	Single

Common Values

Value	Count	Frequency (%)
Married	23	46.0%
Single	22	44.0%
Divorced	4	8.0%
Widowed	1	2.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
married	23	46.0%
single	22	44.0%
divorced	4	8.0%
widowed	1	2.0%

Most occurring characters

Value	Count	Frequency (%)
r	50	15.1%
i	50	15.1%
e	50	15.1%
d	29	8.7%
M	23	6.9%
a	23	6.9%
S	22	6.6%
n	22	6.6%
g	22	6.6%
l	22	6.6%
Other values (6)	19	5.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	282	84.9%
Uppercase Letter	50	15.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	50	17.7%
i	50	17.7%
e	50	17.7%
d	29	10.3%
a	23	8.2%
n	22	7.8%
g	22	7.8%
l	22	7.8%
o	5	1.8%
v	4	1.4%
Other values (2)	5	1.8%

Uppercase Letter

Value	Count	Frequency (%)
M	23	46.0%
S	22	44.0%
D	4	8.0%
W	1	2.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	332	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	50	15.1%
i	50	15.1%
e	50	15.1%
d	29	8.7%
M	23	6.9%
a	23	6.9%
S	22	6.6%
n	22	6.6%
g	22	6.6%
l	22	6.6%
Other values (6)	19	5.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	332	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	50	15.1%
i	50	15.1%
e	50	15.1%
d	29	8.7%
M	23	6.9%
a	23	6.9%
S	22	6.6%
n	22	6.6%
g	22	6.6%
l	22	6.6%
Other values (6)	19	5.7%

Dependents
Categorical

Distinct	5
Distinct (%)	10.0%
Missing	0
Missing (%)	0.0%
Memory size	3.0 KiB

0	18
3	12
2	9
1	6
4	5

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	50
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	4
3rd row	3
4th row	3
5th row	3

Common Values

Value	Count	Frequency (%)
0	18	36.0%
3	12	24.0%
2	9	18.0%
1	6	12.0%
4	5	10.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	18	36.0%
3	12	24.0%
2	9	18.0%
1	6	12.0%
4	5	10.0%

Most occurring characters

Value	Count	Frequency (%)
0	18	36.0%
3	12	24.0%
2	9	18.0%
1	6	12.0%
4	5	10.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	50	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	18	36.0%
3	12	24.0%
2	9	18.0%
1	6	12.0%
4	5	10.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	50	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	18	36.0%
3	12	24.0%
2	9	18.0%
1	6	12.0%
4	5	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	18	36.0%
3	12	24.0%
2	9	18.0%
1	6	12.0%
4	5	10.0%

Residence_Years
Real number (ℝ)

Distinct	14
Distinct (%)	28.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.86

Minimum	1
Maximum	14
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	528.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	7
Q3	10
95-th percentile	12
Maximum	14
Range	13
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.6922976
Coefficient of variation (CV)	0.53823579
Kurtosis	-1.1367069
Mean	6.86
Median Absolute Deviation (MAD)	3
Skewness	0.057311316
Sum	343
Variance	13.633061
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
4	6	12.0%
11	6	12.0%
6	5	10.0%
12	4	8.0%
7	4	8.0%
8	4	8.0%
1	4	8.0%
9	4	8.0%
3	4	8.0%
2	3	6.0%
Other values (4)	6	12.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	4	8.0%
2	3	6.0%
3	4	8.0%
4	6	12.0%
5	2	4.0%
6	5	10.0%
7	4	8.0%
8	4	8.0%
9	4	8.0%
10	2	4.0%

Value	Count	Frequency (%)
14	1	2.0%
13	1	2.0%
12	4	8.0%
11	6	12.0%
10	2	4.0%
9	4	8.0%
8	4	8.0%
7	4	8.0%
6	5	10.0%
5	2	4.0%

Education_Level
Categorical

Distinct	4
Distinct (%)	8.0%
Missing	0
Missing (%)	0.0%
Memory size	3.3 KiB

Graduate	21
Postgraduate	12
High School	11
PhD	6

Length

Max length	12
Median length	11
Mean length	9.02
Min length	3

Characters and Unicode

Total characters	451
Distinct characters	19
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	High School
2nd row	Graduate
3rd row	Graduate
4th row	High School
5th row	High School

Common Values

Value	Count	Frequency (%)
Graduate	21	42.0%
Postgraduate	12	24.0%
High School	11	22.0%
PhD	6	12.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
graduate	21	34.4%
postgraduate	12	19.7%
high	11	18.0%
school	11	18.0%
phd	6	9.8%

Most occurring characters

Value	Count	Frequency (%)
a	66	14.6%
t	45	10.0%
o	34	7.5%
d	33	7.3%
u	33	7.3%
e	33	7.3%
r	33	7.3%
h	28	6.2%
g	23	5.1%
G	21	4.7%
Other values (9)	102	22.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	373	82.7%
Uppercase Letter	67	14.9%
Space Separator	11	2.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	66	17.7%
t	45	12.1%
o	34	9.1%
d	33	8.8%
u	33	8.8%
e	33	8.8%
r	33	8.8%
h	28	7.5%
g	23	6.2%
s	12	3.2%
Other values (3)	33	8.8%

Uppercase Letter

Value	Count	Frequency (%)
G	21	31.3%
P	18	26.9%
H	11	16.4%
S	11	16.4%
D	6	9.0%

Space Separator

Value	Count	Frequency (%)
	11	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	440	97.6%
Common	11	2.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	66	15.0%
t	45	10.2%
o	34	7.7%
d	33	7.5%
u	33	7.5%
e	33	7.5%
r	33	7.5%
h	28	6.4%
g	23	5.2%
G	21	4.8%
Other values (8)	91	20.7%

Common

Value	Count	Frequency (%)
	11	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	451	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	66	14.6%
t	45	10.0%
o	34	7.5%
d	33	7.3%
u	33	7.3%
e	33	7.3%
r	33	7.3%
h	28	6.2%
g	23	5.1%
G	21	4.7%
Other values (9)	102	22.6%

Employment_Status
Categorical

Distinct	4
Distinct (%)	8.0%
Missing	0
Missing (%)	0.0%
Memory size	3.3 KiB

Salaried	38
Self-employed	7
Retired	3
Unemployed	2

Length

Max length	13
Median length	8
Mean length	8.72
Min length	7

Characters and Unicode

Total characters	436
Distinct characters	17
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Salaried
2nd row	Salaried
3rd row	Self-employed
4th row	Salaried
5th row	Salaried

Common Values

Value	Count	Frequency (%)
Salaried	38	76.0%
Self-employed	7	14.0%
Retired	3	6.0%
Unemployed	2	4.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
salaried	38	76.0%
self-employed	7	14.0%
retired	3	6.0%
unemployed	2	4.0%

Most occurring characters

Value	Count	Frequency (%)
a	76	17.4%
e	69	15.8%
l	54	12.4%
d	50	11.5%
S	45	10.3%
r	41	9.4%
i	41	9.4%
o	9	2.1%
y	9	2.1%
m	9	2.1%
Other values (7)	33	7.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	379	86.9%
Uppercase Letter	50	11.5%
Dash Punctuation	7	1.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	76	20.1%
e	69	18.2%
l	54	14.2%
d	50	13.2%
r	41	10.8%
i	41	10.8%
o	9	2.4%
y	9	2.4%
m	9	2.4%
p	9	2.4%
Other values (3)	12	3.2%

Uppercase Letter

Value	Count	Frequency (%)
S	45	90.0%
R	3	6.0%
U	2	4.0%

Dash Punctuation

Value	Count	Frequency (%)
-	7	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	429	98.4%
Common	7	1.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	76	17.7%
e	69	16.1%
l	54	12.6%
d	50	11.7%
S	45	10.5%
r	41	9.6%
i	41	9.6%
o	9	2.1%
y	9	2.1%
m	9	2.1%
Other values (6)	26	6.1%

Common

Value	Count	Frequency (%)
-	7	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	436	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	76	17.4%
e	69	15.8%
l	54	12.4%
d	50	11.5%
S	45	10.3%
r	41	9.4%
i	41	9.4%
o	9	2.1%
y	9	2.1%
m	9	2.1%
Other values (7)	33	7.6%

Job_Type
Categorical

Distinct	6
Distinct (%)	12.0%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Sales	11
Manager	11
Engineer	10
Teacher	8
Technician	5

Length

Max length	10
Median length	8
Mean length	6.86
Min length	5

Characters and Unicode

Total characters	343
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Sales
2nd row	Manager
3rd row	Manager
4th row	Engineer
5th row	Technician

Common Values

Value	Count	Frequency (%)
Sales	11	22.0%
Manager	11	22.0%
Engineer	10	20.0%
Teacher	8	16.0%
Technician	5	10.0%
Clerk	5	10.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
sales	11	22.0%
manager	11	22.0%
engineer	10	20.0%
teacher	8	16.0%
technician	5	10.0%
clerk	5	10.0%

Most occurring characters

Value	Count	Frequency (%)
e	68	19.8%
a	46	13.4%
n	41	12.0%
r	34	9.9%
g	21	6.1%
i	20	5.8%
c	18	5.2%
l	16	4.7%
T	13	3.8%
h	13	3.8%
Other values (6)	53	15.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	293	85.4%
Uppercase Letter	50	14.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	68	23.2%
a	46	15.7%
n	41	14.0%
r	34	11.6%
g	21	7.2%
i	20	6.8%
c	18	6.1%
l	16	5.5%
h	13	4.4%
s	11	3.8%

Uppercase Letter

Value	Count	Frequency (%)
T	13	26.0%
S	11	22.0%
M	11	22.0%
E	10	20.0%
C	5	10.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	343	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	68	19.8%
a	46	13.4%
n	41	12.0%
r	34	9.9%
g	21	6.1%
i	20	5.8%
c	18	5.2%
l	16	4.7%
T	13	3.8%
h	13	3.8%
Other values (6)	53	15.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	343	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	68	19.8%
a	46	13.4%
n	41	12.0%
r	34	9.9%
g	21	6.1%
i	20	5.8%
c	18	5.2%
l	16	4.7%
T	13	3.8%
h	13	3.8%
Other values (6)	53	15.5%

Monthly_Income
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	50
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	156267.66

Minimum	35237
Maximum	282764
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	528.0 B

Quantile statistics

Minimum	35237
5-th percentile	42610.8
Q1	83768.5
median	166646
Q3	221101.5
95-th percentile	263836.3
Maximum	282764
Range	247527
Interquartile range (IQR)	137333

Descriptive statistics

Standard deviation	76860.582
Coefficient of variation (CV)	0.49185213
Kurtosis	-1.3301587
Mean	156267.66
Median Absolute Deviation (MAD)	64560.5
Skewness	-0.12117557
Sum	7813383
Variance	5.9075491 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
130235	1	2.0%
226489	1	2.0%
256507	1	2.0%
269833	1	2.0%
282377	1	2.0%
196319	1	2.0%
151172	1	2.0%
89101	1	2.0%
53049	1	2.0%
240677	1	2.0%
Other values (40)	40	80.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
35237	1	2.0%
39435	1	2.0%
39540	1	2.0%
46364	1	2.0%
46964	1	2.0%
50056	1	2.0%
53049	1	2.0%
53289	1	2.0%
57663	1	2.0%
59375	1	2.0%

Value	Count	Frequency (%)
282764	1	2.0%
282377	1	2.0%
269833	1	2.0%
256507	1	2.0%
255913	1	2.0%
249295	1	2.0%
246139	1	2.0%
240677	1	2.0%
233861	1	2.0%
226489	1	2.0%

Experience_Years
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	26
Distinct (%)	52.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20.02

Minimum	0
Maximum	34
Zeros	1
Zeros (%)	2.0%
Negative	0
Negative (%)	0.0%
Memory size	528.0 B

Quantile statistics

Minimum	0
5-th percentile	2.45
Q1	11
median	22
Q3	28.75
95-th percentile	34
Maximum	34
Range	34
Interquartile range (IQR)	17.75

Descriptive statistics

Standard deviation	10.284702
Coefficient of variation (CV)	0.5137214
Kurtosis	-1.1305363
Mean	20.02
Median Absolute Deviation (MAD)	10
Skewness	-0.27432292
Sum	1001
Variance	105.7751
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
34	5	10.0%
11	4	8.0%
22	3	6.0%
32	3	6.0%
9	3	6.0%
28	3	6.0%
25	3	6.0%
23	3	6.0%
19	2	4.0%
31	2	4.0%
Other values (16)	19	38.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	2.0%
1	1	2.0%
2	1	2.0%
3	1	2.0%
6	1	2.0%
7	1	2.0%
8	1	2.0%
9	3	6.0%
10	1	2.0%
11	4	8.0%

Value	Count	Frequency (%)
34	5	10.0%
33	1	2.0%
32	3	6.0%
31	2	4.0%
30	1	2.0%
29	1	2.0%
28	3	6.0%
25	3	6.0%
24	2	4.0%
23	3	6.0%

Loan_Purpose
Categorical

Distinct	5
Distinct (%)	10.0%
Missing	0
Missing (%)	0.0%
Memory size	3.3 KiB

Personal	12
Business	10
Furniture	10
Car	9
Education	9

Length

Max length	9
Median length	8
Mean length	7.48
Min length	3

Characters and Unicode

Total characters	374
Distinct characters	17
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Car
2nd row	Personal
3rd row	Business
4th row	Business
5th row	Car

Common Values

Value	Count	Frequency (%)
Personal	12	24.0%
Business	10	20.0%
Furniture	10	20.0%
Car	9	18.0%
Education	9	18.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
personal	12	24.0%
business	10	20.0%
furniture	10	20.0%
car	9	18.0%
education	9	18.0%

Most occurring characters

Value	Count	Frequency (%)
s	42	11.2%
r	41	11.0%
n	41	11.0%
u	39	10.4%
e	32	8.6%
a	30	8.0%
i	29	7.8%
o	21	5.6%
t	19	5.1%
P	12	3.2%
Other values (7)	68	18.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	324	86.6%
Uppercase Letter	50	13.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	42	13.0%
r	41	12.7%
n	41	12.7%
u	39	12.0%
e	32	9.9%
a	30	9.3%
i	29	9.0%
o	21	6.5%
t	19	5.9%
l	12	3.7%
Other values (2)	18	5.6%

Uppercase Letter

Value	Count	Frequency (%)
P	12	24.0%
B	10	20.0%
F	10	20.0%
C	9	18.0%
E	9	18.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	374	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	42	11.2%
r	41	11.0%
n	41	11.0%
u	39	10.4%
e	32	8.6%
a	30	8.0%
i	29	7.8%
o	21	5.6%
t	19	5.1%
P	12	3.2%
Other values (7)	68	18.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	374	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
s	42	11.2%
r	41	11.0%
n	41	11.0%
u	39	10.4%
e	32	8.6%
a	30	8.0%
i	29	7.8%
o	21	5.6%
t	19	5.1%
P	12	3.2%
Other values (7)	68	18.2%

Monthly_Spending
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	50
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	82568.76

Minimum	18709
Maximum	176426
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	528.0 B

Quantile statistics

Minimum	18709
5-th percentile	28823.2
Q1	41833
median	67376
Q3	126382
95-th percentile	170295.5
Maximum	176426
Range	157717
Interquartile range (IQR)	84549

Descriptive statistics

Standard deviation	48550.158
Coefficient of variation (CV)	0.58799669
Kurtosis	-1.089647
Mean	82568.76
Median Absolute Deviation (MAD)	33561.5
Skewness	0.54519506
Sum	4128438
Variance	2.3571178 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
34065	1	2.0%
49620	1	2.0%
76629	1	2.0%
81040	1	2.0%
43016	1	2.0%
38960	1	2.0%
48591	1	2.0%
118333	1	2.0%
129821	1	2.0%
51395	1	2.0%
Other values (40)	40	80.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
18709	1	2.0%
19748	1	2.0%
28807	1	2.0%
28843	1	2.0%
30485	1	2.0%
32640	1	2.0%
34065	1	2.0%
34870	1	2.0%
35559	1	2.0%
36732	1	2.0%

Value	Count	Frequency (%)
176426	1	2.0%
172504	1	2.0%
171542	1	2.0%
168772	1	2.0%
159188	1	2.0%
155507	1	2.0%
147396	1	2.0%
144695	1	2.0%
143148	1	2.0%
138961	1	2.0%

Savings_Balance
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	50
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	492118.04

Minimum	14337
Maximum	975240
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	528.0 B

Quantile statistics

Minimum	14337
5-th percentile	78691.45
Q1	270936.25
median	473111.5
Q3	723910.75
95-th percentile	931741.55
Maximum	975240
Range	960903
Interquartile range (IQR)	452974.5

Descriptive statistics

Standard deviation	294786.75
Coefficient of variation (CV)	0.59901635
Kurtosis	-1.2385199
Mean	492118.04
Median Absolute Deviation (MAD)	245484
Skewness	0.12536771
Sum	24605902
Variance	8.6899229 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
264214	1	2.0%
897048	1	2.0%
635075	1	2.0%
692281	1	2.0%
300451	1	2.0%
425571	1	2.0%
132016	1	2.0%
796267	1	2.0%
549447	1	2.0%
502562	1	2.0%
Other values (40)	40	80.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
14337	1	2.0%
16023	1	2.0%
71203	1	2.0%
87844	1	2.0%
123012	1	2.0%
127402	1	2.0%
132016	1	2.0%
155159	1	2.0%
160576	1	2.0%
165775	1	2.0%

Value	Count	Frequency (%)
975240	1	2.0%
960592	1	2.0%
933479	1	2.0%
929618	1	2.0%
910588	1	2.0%
897048	1	2.0%
891089	1	2.0%
888439	1	2.0%
870291	1	2.0%
870184	1	2.0%

Credit_Amount
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	50
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	984200.68

Minimum	50404
Maximum	1931548
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	528.0 B

Quantile statistics

Minimum	50404
5-th percentile	172902.3
Q1	517168.75
median	971510.5
Q3	1406338.2
95-th percentile	1899829.6
Maximum	1931548
Range	1881144
Interquartile range (IQR)	889169.5

Descriptive statistics

Standard deviation	573825.57
Coefficient of variation (CV)	0.58303716
Kurtosis	-1.134225
Mean	984200.68
Median Absolute Deviation (MAD)	451867
Skewness	0.12928493
Sum	49210034
Variance	3.2927578 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
448929	1	2.0%
753286	1	2.0%
1433194	1	2.0%
1054208	1	2.0%
1931548	1	2.0%
201456	1	2.0%
1903025	1	2.0%
912312	1	2.0%
1204146	1	2.0%
320846	1	2.0%
Other values (40)	40	80.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
50404	1	2.0%
77712	1	2.0%
162816	1	2.0%
185230	1	2.0%
201456	1	2.0%
250244	1	2.0%
285365	1	2.0%
319114	1	2.0%
320846	1	2.0%
335977	1	2.0%

Value	Count	Frequency (%)
1931548	1	2.0%
1908532	1	2.0%
1903025	1	2.0%
1895924	1	2.0%
1865790	1	2.0%
1816616	1	2.0%
1772320	1	2.0%
1763796	1	2.0%
1723361	1	2.0%
1685156	1	2.0%

Installment_Rate
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	50
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	23.2472

Minimum	5.78
Maximum	39.32
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	528.0 B

Quantile statistics

Minimum	5.78
5-th percentile	6.946
Q1	14.8225
median	24.29
Q3	31.8075
95-th percentile	36.753
Maximum	39.32
Range	33.54
Interquartile range (IQR)	16.985

Descriptive statistics

Standard deviation	9.6831628
Coefficient of variation (CV)	0.41653028
Kurtosis	-1.0729652
Mean	23.2472
Median Absolute Deviation (MAD)	8.47
Skewness	-0.21331544
Sum	1162.36
Variance	93.763641
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
31.5	1	2.0%
15.43	1	2.0%
26.6	1	2.0%
39.32	1	2.0%
26.28	1	2.0%
27.28	1	2.0%
24.42	1	2.0%
8.19	1	2.0%
30.42	1	2.0%
24.16	1	2.0%
Other values (40)	40	80.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5.78	1	2.0%
6.61	1	2.0%
6.64	1	2.0%
7.32	1	2.0%
8.09	1	2.0%
8.19	1	2.0%
12.18	1	2.0%
12.25	1	2.0%
12.32	1	2.0%
13.44	1	2.0%

Value	Count	Frequency (%)
39.32	1	2.0%
38.88	1	2.0%
36.87	1	2.0%
36.61	1	2.0%
35.74	1	2.0%
34.47	1	2.0%
34.1	1	2.0%
33.57	1	2.0%
33.18	1	2.0%
32.88	1	2.0%

Credit_Card_Usage
Categorical

Distinct	3
Distinct (%)	6.0%
Missing	0
Missing (%)	0.0%
Memory size	3.1 KiB

Medium	28
Low	13
High	9

Length

Max length	6
Median length	6
Mean length	4.86
Min length	3

Characters and Unicode

Total characters	243
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Medium
2nd row	Medium
3rd row	Medium
4th row	Medium
5th row	Medium

Common Values

Value	Count	Frequency (%)
Medium	28	56.0%
Low	13	26.0%
High	9	18.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
medium	28	56.0%
low	13	26.0%
high	9	18.0%

Most occurring characters

Value	Count	Frequency (%)
i	37	15.2%
M	28	11.5%
e	28	11.5%
d	28	11.5%
u	28	11.5%
m	28	11.5%
L	13	5.3%
o	13	5.3%
w	13	5.3%
H	9	3.7%
Other values (2)	18	7.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	193	79.4%
Uppercase Letter	50	20.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	37	19.2%
e	28	14.5%
d	28	14.5%
u	28	14.5%
m	28	14.5%
o	13	6.7%
w	13	6.7%
g	9	4.7%
h	9	4.7%

Uppercase Letter

Value	Count	Frequency (%)
M	28	56.0%
L	13	26.0%
H	9	18.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	243	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	37	15.2%
M	28	11.5%
e	28	11.5%
d	28	11.5%
u	28	11.5%
m	28	11.5%
L	13	5.3%
o	13	5.3%
w	13	5.3%
H	9	3.7%
Other values (2)	18	7.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	243	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	37	15.2%
M	28	11.5%
e	28	11.5%
d	28	11.5%
u	28	11.5%
m	28	11.5%
L	13	5.3%
o	13	5.3%
w	13	5.3%
H	9	3.7%
Other values (2)	18	7.4%

Payment_History
Categorical

Distinct	3
Distinct (%)	6.0%
Missing	0
Missing (%)	0.0%
Memory size	3.1 KiB

Good	32
Average	14
Poor	4

Length

Max length	7
Median length	4
Mean length	4.84
Min length	4

Characters and Unicode

Total characters	242
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Good
2nd row	Good
3rd row	Good
4th row	Average
5th row	Good

Common Values

Value	Count	Frequency (%)
Good	32	64.0%
Average	14	28.0%
Poor	4	8.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
good	32	64.0%
average	14	28.0%
poor	4	8.0%

Most occurring characters

Value	Count	Frequency (%)
o	72	29.8%
G	32	13.2%
d	32	13.2%
e	28	11.6%
r	18	7.4%
A	14	5.8%
v	14	5.8%
a	14	5.8%
g	14	5.8%
P	4	1.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	192	79.3%
Uppercase Letter	50	20.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	72	37.5%
d	32	16.7%
e	28	14.6%
r	18	9.4%
v	14	7.3%
a	14	7.3%
g	14	7.3%

Uppercase Letter

Value	Count	Frequency (%)
G	32	64.0%
A	14	28.0%
P	4	8.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	242	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	72	29.8%
G	32	13.2%
d	32	13.2%
e	28	11.6%
r	18	7.4%
A	14	5.8%
v	14	5.8%
a	14	5.8%
g	14	5.8%
P	4	1.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	242	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	72	29.8%
G	32	13.2%
d	32	13.2%
e	28	11.6%
r	18	7.4%
A	14	5.8%
v	14	5.8%
a	14	5.8%
g	14	5.8%
P	4	1.7%

Other_Loans
Boolean

Distinct	2
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	178.0 B

False	37
True	13

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	37	74.0%
True	13	26.0%

Default_History
Boolean

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	178.0 B

False	46
True	4

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	46	92.0%
True	4	8.0%

Checking_Account_Status
Categorical

Distinct	4
Distinct (%)	8.0%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

<50K	25
50K–100K	12
>100K	9
No account	4

Length

Max length	10
Median length	9
Mean length	5.62
Min length	4

Characters and Unicode

Total characters	281
Distinct characters	15
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	<50K
2nd row	<50K
3rd row	<50K
4th row	<50K
5th row	50K–100K

Common Values

Value	Count	Frequency (%)
<50K	25	50.0%
50K–100K	12	24.0%
>100K	9	18.0%
No account	4	8.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
50k	25	46.3%
50k–100k	12	22.2%
100k	9	16.7%
no	4	7.4%
account	4	7.4%

Most occurring characters

Value	Count	Frequency (%)
0	79	28.1%
K	58	20.6%
5	37	13.2%
<	25	8.9%
1	21	7.5%
–	12	4.3%
>	9	3.2%
o	8	2.8%
c	8	2.8%
N	4	1.4%
Other values (5)	20	7.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	137	48.8%
Uppercase Letter	62	22.1%
Math Symbol	34	12.1%
Lowercase Letter	32	11.4%
Dash Punctuation	12	4.3%
Space Separator	4	1.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	8	25.0%
c	8	25.0%
a	4	12.5%
u	4	12.5%
n	4	12.5%
t	4	12.5%

Decimal Number

Value	Count	Frequency (%)
0	79	57.7%
5	37	27.0%
1	21	15.3%

Uppercase Letter

Value	Count	Frequency (%)
K	58	93.5%
N	4	6.5%

Math Symbol

Value	Count	Frequency (%)
<	25	73.5%
>	9	26.5%

Dash Punctuation

Value	Count	Frequency (%)
–	12	100.0%

Space Separator

Value	Count	Frequency (%)
	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	187	66.5%
Latin	94	33.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
K	58	61.7%
o	8	8.5%
c	8	8.5%
N	4	4.3%
a	4	4.3%
u	4	4.3%
n	4	4.3%
t	4	4.3%

Common

Value	Count	Frequency (%)
0	79	42.2%
5	37	19.8%
<	25	13.4%
1	21	11.2%
–	12	6.4%
>	9	4.8%
	4	2.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	269	95.7%
Punctuation	12	4.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	79	29.4%
K	58	21.6%
5	37	13.8%
<	25	9.3%
1	21	7.8%
>	9	3.3%
o	8	3.0%
c	8	3.0%
N	4	1.5%
	4	1.5%
Other values (4)	16	5.9%

Punctuation

Value	Count	Frequency (%)
–	12	100.0%

Savings_Account_Status
Categorical

Distinct	4
Distinct (%)	8.0%
Missing	0
Missing (%)	0.0%
Memory size	3.7 KiB

<50K	23
50K–200K	17
>200K	8
None	2

Length

Max length	8
Median length	6.5
Mean length	5.52
Min length	4

Characters and Unicode

Total characters	276
Distinct characters	11
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	None
2nd row	<50K
3rd row	50K–200K
4th row	<50K
5th row	<50K

Common Values

Value	Count	Frequency (%)
<50K	23	46.0%
50K–200K	17	34.0%
>200K	8	16.0%
None	2	4.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
50k	23	46.0%
50k–200k	17	34.0%
200k	8	16.0%
none	2	4.0%

Most occurring characters

Value	Count	Frequency (%)
0	90	32.6%
K	65	23.6%
5	40	14.5%
2	25	9.1%
<	23	8.3%
–	17	6.2%
>	8	2.9%
N	2	0.7%
o	2	0.7%
n	2	0.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	155	56.2%
Uppercase Letter	67	24.3%
Math Symbol	31	11.2%
Dash Punctuation	17	6.2%
Lowercase Letter	6	2.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	90	58.1%
5	40	25.8%
2	25	16.1%

Lowercase Letter

Value	Count	Frequency (%)
o	2	33.3%
n	2	33.3%
e	2	33.3%

Uppercase Letter

Value	Count	Frequency (%)
K	65	97.0%
N	2	3.0%

Math Symbol

Value	Count	Frequency (%)
<	23	74.2%
>	8	25.8%

Dash Punctuation

Value	Count	Frequency (%)
–	17	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	203	73.6%
Latin	73	26.4%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	90	44.3%
5	40	19.7%
2	25	12.3%
<	23	11.3%
–	17	8.4%
>	8	3.9%

Latin

Value	Count	Frequency (%)
K	65	89.0%
N	2	2.7%
o	2	2.7%
n	2	2.7%
e	2	2.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	259	93.8%
Punctuation	17	6.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	90	34.7%
K	65	25.1%
5	40	15.4%
2	25	9.7%
<	23	8.9%
>	8	3.1%
N	2	0.8%
o	2	0.8%
n	2	0.8%
e	2	0.8%

Punctuation

Value	Count	Frequency (%)
–	17	100.0%

Property
Categorical

Distinct	3
Distinct (%)	6.0%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Real Estate	21
None	15
Car	14

Length

Max length	11
Median length	4
Mean length	6.66
Min length	3

Characters and Unicode

Total characters	333
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	None
2nd row	Real Estate
3rd row	Real Estate
4th row	None
5th row	None

Common Values

Value	Count	Frequency (%)
Real Estate	21	42.0%
None	15	30.0%
Car	14	28.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
real	21	29.6%
estate	21	29.6%
none	15	21.1%
car	14	19.7%

Most occurring characters

Value	Count	Frequency (%)
e	57	17.1%
a	56	16.8%
t	42	12.6%
R	21	6.3%
l	21	6.3%
	21	6.3%
E	21	6.3%
s	21	6.3%
N	15	4.5%
o	15	4.5%
Other values (3)	43	12.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	241	72.4%
Uppercase Letter	71	21.3%
Space Separator	21	6.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	57	23.7%
a	56	23.2%
t	42	17.4%
l	21	8.7%
s	21	8.7%
o	15	6.2%
n	15	6.2%
r	14	5.8%

Uppercase Letter

Value	Count	Frequency (%)
R	21	29.6%
E	21	29.6%
N	15	21.1%
C	14	19.7%

Space Separator

Value	Count	Frequency (%)
	21	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	312	93.7%
Common	21	6.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	57	18.3%
a	56	17.9%
t	42	13.5%
R	21	6.7%
l	21	6.7%
E	21	6.7%
s	21	6.7%
N	15	4.8%
o	15	4.8%
n	15	4.8%
Other values (2)	28	9.0%

Common

Value	Count	Frequency (%)
	21	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	333	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	57	17.1%
a	56	16.8%
t	42	12.6%
R	21	6.3%
l	21	6.3%
	21	6.3%
E	21	6.3%
s	21	6.3%
N	15	4.5%
o	15	4.5%
Other values (3)	43	12.9%

Housing
Categorical

Distinct	3
Distinct (%)	6.0%
Missing	0
Missing (%)	0.0%
Memory size	3.1 KiB

Own	26
Rent	13
Family	11

Length

Max length	6
Median length	3
Mean length	3.92
Min length	3

Characters and Unicode

Total characters	196
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Own
2nd row	Family
3rd row	Own
4th row	Family
5th row	Own

Common Values

Value	Count	Frequency (%)
Own	26	52.0%
Rent	13	26.0%
Family	11	22.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
own	26	52.0%
rent	13	26.0%
family	11	22.0%

Most occurring characters

Value	Count	Frequency (%)
n	39	19.9%
O	26	13.3%
w	26	13.3%
R	13	6.6%
e	13	6.6%
t	13	6.6%
F	11	5.6%
a	11	5.6%
m	11	5.6%
i	11	5.6%
Other values (2)	22	11.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	146	74.5%
Uppercase Letter	50	25.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	39	26.7%
w	26	17.8%
e	13	8.9%
t	13	8.9%
a	11	7.5%
m	11	7.5%
i	11	7.5%
l	11	7.5%
y	11	7.5%

Uppercase Letter

Value	Count	Frequency (%)
O	26	52.0%
R	13	26.0%
F	11	22.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	196	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	39	19.9%
O	26	13.3%
w	26	13.3%
R	13	6.6%
e	13	6.6%
t	13	6.6%
F	11	5.6%
a	11	5.6%
m	11	5.6%
i	11	5.6%
Other values (2)	22	11.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	196	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	39	19.9%
O	26	13.3%
w	26	13.3%
R	13	6.6%
e	13	6.6%
t	13	6.6%
F	11	5.6%
a	11	5.6%
m	11	5.6%
i	11	5.6%
Other values (2)	22	11.2%

Foreign_Worker
Boolean

Distinct	2
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	178.0 B

False	42
True	8

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	42	84.0%
True	8	16.0%

Account_Tenure_Months
Real number (ℝ)

Distinct	42
Distinct (%)	84.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	125.96

Minimum	9
Maximum	232
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	528.0 B

Quantile statistics

Minimum	9
5-th percentile	18.9
Q1	61.75
median	134.5
Q3	175.75
95-th percentile	224.65
Maximum	232
Range	223
Interquartile range (IQR)	114

Descriptive statistics

Standard deviation	69.805257
Coefficient of variation (CV)	0.55418591
Kurtosis	-1.210664
Mean	125.96
Median Absolute Deviation (MAD)	55
Skewness	-0.22832159
Sum	6298
Variance	4872.7739
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=42)

Value	Count	Frequency (%)
232	2	4.0%
44	2	4.0%
175	2	4.0%
21	2	4.0%
146	2	4.0%
158	2	4.0%
113	2	4.0%
163	2	4.0%
126	1	2.0%
189	1	2.0%
Other values (32)	32	64.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
9	1	2.0%
15	1	2.0%
18	1	2.0%
20	1	2.0%
21	2	4.0%
23	1	2.0%
34	1	2.0%
39	1	2.0%
44	2	4.0%
51	1	2.0%

Value	Count	Frequency (%)
232	2	4.0%
226	1	2.0%
223	1	2.0%
220	1	2.0%
219	1	2.0%
215	1	2.0%
199	1	2.0%
195	1	2.0%
190	1	2.0%
189	1	2.0%

Monthly_Transactions_Count
Real number (ℝ)

Distinct	42
Distinct (%)	84.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	61.34

Minimum	7
Maximum	119
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	528.0 B

Quantile statistics

Minimum	7
5-th percentile	15.45
Q1	41.5
median	63
Q3	76.75
95-th percentile	113.55
Maximum	119
Range	112
Interquartile range (IQR)	35.25

Descriptive statistics

Standard deviation	29.794267
Coefficient of variation (CV)	0.4857233
Kurtosis	-0.60699961
Mean	61.34
Median Absolute Deviation (MAD)	19
Skewness	0.078946687
Sum	3067
Variance	887.69837
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=42)

Value	Count	Frequency (%)
63	2	4.0%
53	2	4.0%
92	2	4.0%
67	2	4.0%
72	2	4.0%
66	2	4.0%
41	2	4.0%
29	2	4.0%
102	1	2.0%
43	1	2.0%
Other values (32)	32	64.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
7	1	2.0%
8	1	2.0%
15	1	2.0%
16	1	2.0%
18	1	2.0%
19	1	2.0%
22	1	2.0%
24	1	2.0%
29	2	4.0%
34	1	2.0%

Value	Count	Frequency (%)
119	1	2.0%
118	1	2.0%
114	1	2.0%
113	1	2.0%
105	1	2.0%
102	1	2.0%
98	1	2.0%
97	1	2.0%
92	2	4.0%
83	1	2.0%

Avg_Transaction_Value
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	50
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	27342.2

Minimum	1726
Maximum	48319
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	528.0 B

Quantile statistics

Minimum	1726
5-th percentile	8453.5
Q1	18390.5
median	27051.5
Q3	37757.5
95-th percentile	47301.25
Maximum	48319
Range	46593
Interquartile range (IQR)	19367

Descriptive statistics

Standard deviation	12813.73
Coefficient of variation (CV)	0.46864299
Kurtosis	-1.0381788
Mean	27342.2
Median Absolute Deviation (MAD)	9453.5
Skewness	0.00083981259
Sum	1367110
Variance	1.6419169 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
35157	1	2.0%
33284	1	2.0%
11222	1	2.0%
38443	1	2.0%
35701	1	2.0%
18764	1	2.0%
45641	1	2.0%
18674	1	2.0%
19024	1	2.0%
47007	1	2.0%
Other values (40)	40	80.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1726	1	2.0%
8214	1	2.0%
8287	1	2.0%
8657	1	2.0%
8906	1	2.0%
9245	1	2.0%
11222	1	2.0%
12362	1	2.0%
12593	1	2.0%
15199	1	2.0%

Value	Count	Frequency (%)
48319	1	2.0%
47600	1	2.0%
47542	1	2.0%
47007	1	2.0%
45641	1	2.0%
44642	1	2.0%
44513	1	2.0%
43874	1	2.0%
43520	1	2.0%
41059	1	2.0%

Mobile_Banking_Active
Boolean

Distinct	2
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	178.0 B

True	36
False	14

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
True	36	72.0%
False	14	28.0%

Auto_Pay_Enabled
Boolean

Distinct	2
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	178.0 B

True	25
False	25

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
True	25	50.0%
False	25	50.0%

Number_Credit_Inquiries_6mo
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	8
Distinct (%)	16.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.52

Minimum	0
Maximum	7
Zeros	7
Zeros (%)	14.0%
Negative	0
Negative (%)	0.0%
Memory size	528.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	3
Q3	5.75
95-th percentile	7
Maximum	7
Range	7
Interquartile range (IQR)	3.75

Descriptive statistics

Standard deviation	2.349468
Coefficient of variation (CV)	0.66746251
Kurtosis	-1.2308727
Mean	3.52
Median Absolute Deviation (MAD)	2
Skewness	-0.0016050755
Sum	176
Variance	5.52
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
3	8	16.0%
0	7	14.0%
7	7	14.0%
2	6	12.0%
5	6	12.0%
6	6	12.0%
1	5	10.0%
4	5	10.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	7	14.0%
1	5	10.0%
2	6	12.0%
3	8	16.0%
4	5	10.0%
5	6	12.0%
6	6	12.0%
7	7	14.0%

Value	Count	Frequency (%)
7	7	14.0%
6	6	12.0%
5	6	12.0%
4	5	10.0%
3	8	16.0%
2	6	12.0%
1	5	10.0%
0	7	14.0%

Credit_Limit
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	50
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1107963.2

Minimum	101195
Maximum	1968317
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	528.0 B

Quantile statistics

Minimum	101195
5-th percentile	211868.4
Q1	671006.25
median	1096313
Q3	1630081.5
95-th percentile	1932880.6
Maximum	1968317
Range	1867122
Interquartile range (IQR)	959075.25

Descriptive statistics

Standard deviation	564032
Coefficient of variation (CV)	0.50907108
Kurtosis	-1.1835642
Mean	1107963.2
Median Absolute Deviation (MAD)	446124.5
Skewness	-0.030741042
Sum	55398158
Variance	3.181321 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1651405	1	2.0%
342231	1	2.0%
1815982	1	2.0%
943093	1	2.0%
731503	1	2.0%
1104730	1	2.0%
727164	1	2.0%
1009192	1	2.0%
1162864	1	2.0%
101195	1	2.0%
Other values (40)	40	80.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
101195	1	2.0%
129083	1	2.0%
210081	1	2.0%
214053	1	2.0%
332725	1	2.0%
342231	1	2.0%
438590	1	2.0%
495485	1	2.0%
495864	1	2.0%
608819	1	2.0%

Value	Count	Frequency (%)
1968317	1	2.0%
1950463	1	2.0%
1934276	1	2.0%
1931175	1	2.0%
1890117	1	2.0%
1854673	1	2.0%
1829240	1	2.0%
1815982	1	2.0%
1792495	1	2.0%
1783951	1	2.0%

Revolving_Balance
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	50
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	237467.02

Minimum	9078
Maximum	488533
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	528.0 B

Quantile statistics

Minimum	9078
5-th percentile	40444.85
Q1	125642
median	232461.5
Q3	329797
95-th percentile	432939.1
Maximum	488533
Range	479455
Interquartile range (IQR)	204155

Descriptive statistics

Standard deviation	129089.82
Coefficient of variation (CV)	0.54361155
Kurtosis	-0.94051354
Mean	237467.02
Median Absolute Deviation (MAD)	102716
Skewness	-0.0058135566
Sum	11873351
Variance	1.666418 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
242997	1	2.0%
319804	1	2.0%
338041	1	2.0%
212977	1	2.0%
127118	1	2.0%
330721	1	2.0%
196713	1	2.0%
9078	1	2.0%
418219	1	2.0%
324912	1	2.0%
Other values (40)	40	80.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
9078	1	2.0%
22431	1	2.0%
33320	1	2.0%
49153	1	2.0%
50861	1	2.0%
51047	1	2.0%
56985	1	2.0%
90827	1	2.0%
96347	1	2.0%
108737	1	2.0%

Value	Count	Frequency (%)
488533	1	2.0%
477085	1	2.0%
443002	1	2.0%
420640	1	2.0%
418219	1	2.0%
395141	1	2.0%
392550	1	2.0%
374899	1	2.0%
374504	1	2.0%
338041	1	2.0%

Num_Products_With_Bank
Categorical

Distinct	5
Distinct (%)	10.0%
Missing	0
Missing (%)	0.0%
Memory size	3.0 KiB

4	12
3	12
5	11
2	10
1	5

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	50
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	4
3rd row	4
4th row	3
5th row	3

Common Values

Value	Count	Frequency (%)
4	12	24.0%
3	12	24.0%
5	11	22.0%
2	10	20.0%
1	5	10.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
4	12	24.0%
3	12	24.0%
5	11	22.0%
2	10	20.0%
1	5	10.0%

Most occurring characters

Value	Count	Frequency (%)
4	12	24.0%
3	12	24.0%
5	11	22.0%
2	10	20.0%
1	5	10.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	50	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
4	12	24.0%
3	12	24.0%
5	11	22.0%
2	10	20.0%
1	5	10.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	50	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
4	12	24.0%
3	12	24.0%
5	11	22.0%
2	10	20.0%
1	5	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
4	12	24.0%
3	12	24.0%
5	11	22.0%
2	10	20.0%
1	5	10.0%

Insurance_Coverage
Categorical

Distinct	3
Distinct (%)	6.0%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

None	20
Basic	18
Comprehensive	12

Length

Max length	13
Median length	5
Mean length	6.52
Min length	4

Characters and Unicode

Total characters	326
Distinct characters	15
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	None
2nd row	None
3rd row	Comprehensive
4th row	None
5th row	Comprehensive

Common Values

Value	Count	Frequency (%)
None	20	40.0%
Basic	18	36.0%
Comprehensive	12	24.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
none	20	40.0%
basic	18	36.0%
comprehensive	12	24.0%

Most occurring characters

Value	Count	Frequency (%)
e	56	17.2%
o	32	9.8%
n	32	9.8%
s	30	9.2%
i	30	9.2%
N	20	6.1%
B	18	5.5%
a	18	5.5%
c	18	5.5%
C	12	3.7%
Other values (5)	60	18.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	276	84.7%
Uppercase Letter	50	15.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	56	20.3%
o	32	11.6%
n	32	11.6%
s	30	10.9%
i	30	10.9%
a	18	6.5%
c	18	6.5%
m	12	4.3%
p	12	4.3%
r	12	4.3%
Other values (2)	24	8.7%

Uppercase Letter

Value	Count	Frequency (%)
N	20	40.0%
B	18	36.0%
C	12	24.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	326	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	56	17.2%
o	32	9.8%
n	32	9.8%
s	30	9.2%
i	30	9.2%
N	20	6.1%
B	18	5.5%
a	18	5.5%
c	18	5.5%
C	12	3.7%
Other values (5)	60	18.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	326	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	56	17.2%
o	32	9.8%
n	32	9.8%
s	30	9.2%
i	30	9.2%
N	20	6.1%
B	18	5.5%
a	18	5.5%
c	18	5.5%
C	12	3.7%
Other values (5)	60	18.4%

Financial_Literacy_Score
Categorical

Distinct	3
Distinct (%)	6.0%
Missing	0
Missing (%)	0.0%
Memory size	3.1 KiB

Medium	22
High	14
Low	14

Length

Max length	6
Median length	4
Mean length	4.6
Min length	3

Characters and Unicode

Total characters	230
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Medium
2nd row	Medium
3rd row	Medium
4th row	High
5th row	Low

Common Values

Value	Count	Frequency (%)
Medium	22	44.0%
High	14	28.0%
Low	14	28.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
medium	22	44.0%
high	14	28.0%
low	14	28.0%

Most occurring characters

Value	Count	Frequency (%)
i	36	15.7%
M	22	9.6%
e	22	9.6%
d	22	9.6%
u	22	9.6%
m	22	9.6%
H	14	6.1%
g	14	6.1%
h	14	6.1%
L	14	6.1%
Other values (2)	28	12.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	180	78.3%
Uppercase Letter	50	21.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	36	20.0%
e	22	12.2%
d	22	12.2%
u	22	12.2%
m	22	12.2%
g	14	7.8%
h	14	7.8%
o	14	7.8%
w	14	7.8%

Uppercase Letter

Value	Count	Frequency (%)
M	22	44.0%
H	14	28.0%
L	14	28.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	230	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	36	15.7%
M	22	9.6%
e	22	9.6%
d	22	9.6%
u	22	9.6%
m	22	9.6%
H	14	6.1%
g	14	6.1%
h	14	6.1%
L	14	6.1%
Other values (2)	28	12.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	230	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	36	15.7%
M	22	9.6%
e	22	9.6%
d	22	9.6%
u	22	9.6%
m	22	9.6%
H	14	6.1%
g	14	6.1%
h	14	6.1%
L	14	6.1%
Other values (2)	28	12.2%

Region
Categorical

Distinct	4
Distinct (%)	8.0%
Missing	0
Missing (%)	0.0%
Memory size	3.1 KiB

North	17
South	14
West	10
East	9

Length

Max length	5
Median length	5
Mean length	4.62
Min length	4

Characters and Unicode

Total characters	231
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	South
2nd row	North
3rd row	East
4th row	East
5th row	South

Common Values

Value	Count	Frequency (%)
North	17	34.0%
South	14	28.0%
West	10	20.0%
East	9	18.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
north	17	34.0%
south	14	28.0%
west	10	20.0%
east	9	18.0%

Most occurring characters

Value	Count	Frequency (%)
t	50	21.6%
o	31	13.4%
h	31	13.4%
s	19	8.2%
N	17	7.4%
r	17	7.4%
S	14	6.1%
u	14	6.1%
W	10	4.3%
e	10	4.3%
Other values (2)	18	7.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	181	78.4%
Uppercase Letter	50	21.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	50	27.6%
o	31	17.1%
h	31	17.1%
s	19	10.5%
r	17	9.4%
u	14	7.7%
e	10	5.5%
a	9	5.0%

Uppercase Letter

Value	Count	Frequency (%)
N	17	34.0%
S	14	28.0%
W	10	20.0%
E	9	18.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	231	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	50	21.6%
o	31	13.4%
h	31	13.4%
s	19	8.2%
N	17	7.4%
r	17	7.4%
S	14	6.1%
u	14	6.1%
W	10	4.3%
e	10	4.3%
Other values (2)	18	7.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	231	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	50	21.6%
o	31	13.4%
h	31	13.4%
s	19	8.2%
N	17	7.4%
r	17	7.4%
S	14	6.1%
u	14	6.1%
W	10	4.3%
e	10	4.3%
Other values (2)	18	7.8%

Employment_Industry
Categorical

Distinct	6
Distinct (%)	12.0%
Missing	0
Missing (%)	0.0%
Memory size	3.3 KiB

Finance	10
Other	10
IT	9
Manufacturing	9
Education	7

Length

Max length	13
Median length	9
Mean length	7.36
Min length	2

Characters and Unicode

Total characters	368
Distinct characters	21
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Finance
2nd row	IT
3rd row	Healthcare
4th row	Manufacturing
5th row	Education

Common Values

Value	Count	Frequency (%)
Finance	10	20.0%
Other	10	20.0%
IT	9	18.0%
Manufacturing	9	18.0%
Education	7	14.0%
Healthcare	5	10.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
finance	10	20.0%
other	10	20.0%
it	9	18.0%
manufacturing	9	18.0%
education	7	14.0%
healthcare	5	10.0%

Most occurring characters

Value	Count	Frequency (%)
n	45	12.2%
a	45	12.2%
c	31	8.4%
t	31	8.4%
e	30	8.2%
i	26	7.1%
u	25	6.8%
r	24	6.5%
h	15	4.1%
F	10	2.7%
Other values (11)	86	23.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	309	84.0%
Uppercase Letter	59	16.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	45	14.6%
a	45	14.6%
c	31	10.0%
t	31	10.0%
e	30	9.7%
i	26	8.4%
u	25	8.1%
r	24	7.8%
h	15	4.9%
g	9	2.9%
Other values (4)	28	9.1%

Uppercase Letter

Value	Count	Frequency (%)
F	10	16.9%
O	10	16.9%
I	9	15.3%
M	9	15.3%
T	9	15.3%
E	7	11.9%
H	5	8.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	368	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	45	12.2%
a	45	12.2%
c	31	8.4%
t	31	8.4%
e	30	8.2%
i	26	7.1%
u	25	6.8%
r	24	6.5%
h	15	4.1%
F	10	2.7%
Other values (11)	86	23.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	368	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	45	12.2%
a	45	12.2%
c	31	8.4%
t	31	8.4%
e	30	8.2%
i	26	7.1%
u	25	6.8%
r	24	6.5%
h	15	4.1%
F	10	2.7%
Other values (11)	86	23.4%

Days_Since_Last_Default
Categorical

HIGH CORRELATION IMBALANCE

Distinct	4
Distinct (%)	8.0%
Missing	0
Missing (%)	0.0%
Memory size	3.0 KiB

0	41
300	4
900	3
600	2

Length

Max length	3
Median length	1
Mean length	1.36
Min length	1

Characters and Unicode

Total characters	68
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	41	82.0%
300	4	8.0%
900	3	6.0%
600	2	4.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	41	82.0%
300	4	8.0%
900	3	6.0%
600	2	4.0%

Most occurring characters

Value	Count	Frequency (%)
0	59	86.8%
3	4	5.9%
9	3	4.4%
6	2	2.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	68	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	59	86.8%
3	4	5.9%
9	3	4.4%
6	2	2.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	68	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	59	86.8%
3	4	5.9%
9	3	4.4%
6	2	2.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	68	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	59	86.8%
3	4	5.9%
9	3	4.4%
6	2	2.9%

Spending_to_Income_Ratio
Real number (ℝ)

Distinct	40
Distinct (%)	80.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.8304

Minimum	0.09
Maximum	4.04
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	528.0 B

Quantile statistics

Minimum	0.09
5-th percentile	0.1545
Q1	0.2425
median	0.45
Q3	0.835
95-th percentile	2.7175
Maximum	4.04
Range	3.95
Interquartile range (IQR)	0.5925

Descriptive statistics

Standard deviation	0.92081588
Coefficient of variation (CV)	1.1088823
Kurtosis	3.1275227
Mean	0.8304
Median Absolute Deviation (MAD)	0.25
Skewness	1.903049
Sum	41.52
Variance	0.84790188
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
0.24	3	6.0%
0.26	2	4.0%
0.71	2	4.0%
0.3	2	4.0%
0.19	2	4.0%
0.25	2	4.0%
0.41	2	4.0%
0.2	2	4.0%
0.27	2	4.0%
2.15	1	2.0%
Other values (30)	30	60.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.09	1	2.0%
0.13	1	2.0%
0.15	1	2.0%
0.16	1	2.0%
0.19	2	4.0%
0.2	2	4.0%
0.21	1	2.0%
0.22	1	2.0%
0.24	3	6.0%
0.25	2	4.0%

Value	Count	Frequency (%)
4.04	1	2.0%
3.45	1	2.0%
2.74	1	2.0%
2.69	1	2.0%
2.45	1	2.0%
2.25	1	2.0%
2.15	1	2.0%
1.84	1	2.0%
1.47	1	2.0%
1.33	1	2.0%

Loan_to_Income_Ratio
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	50
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9.873

Minimum	0.35
Maximum	42.73
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	528.0 B

Quantile statistics

Minimum	0.35
5-th percentile	0.9615
Q1	2.6925
median	6
Q3	15.6725
95-th percentile	28.4255
Maximum	42.73
Range	42.38
Interquartile range (IQR)	12.98

Descriptive statistics

Standard deviation	10.027892
Coefficient of variation (CV)	1.0156885
Kurtosis	1.1696714
Mean	9.873
Median Absolute Deviation (MAD)	3.645
Skewness	1.3678597
Sum	493.65
Variance	100.55863
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3.45	1	2.0%
3.33	1	2.0%
5.59	1	2.0%
3.91	1	2.0%
6.84	1	2.0%
1.03	1	2.0%
12.59	1	2.0%
10.24	1	2.0%
22.7	1	2.0%
1.33	1	2.0%
Other values (40)	40	80.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.35	1	2.0%
0.51	1	2.0%
0.93	1	2.0%
1	1	2.0%
1.03	1	2.0%
1.33	1	2.0%
1.64	1	2.0%
1.68	1	2.0%
1.8	1	2.0%
2.28	1	2.0%

Value	Count	Frequency (%)
42.73	1	2.0%
30.59	1	2.0%
29.6	1	2.0%
26.99	1	2.0%
25.77	1	2.0%
24.53	1	2.0%
24.12	1	2.0%
23.87	1	2.0%
22.7	1	2.0%
20.16	1	2.0%

Credit_Utilization_Ratio
Real number (ℝ)

Distinct	38
Distinct (%)	76.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.41

Minimum	0.01
Maximum	3.78
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	528.0 B

Quantile statistics

Minimum	0.01
5-th percentile	0.03
Q1	0.12
median	0.23
Q3	0.3375
95-th percentile	1.557
Maximum	3.78
Range	3.77
Interquartile range (IQR)	0.2175

Descriptive statistics

Standard deviation	0.71405996
Coefficient of variation (CV)	1.7416097
Kurtosis	14.409127
Mean	0.41
Median Absolute Deviation (MAD)	0.11
Skewness	3.7502588
Sum	20.5
Variance	0.50988163
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=38)

Value	Count	Frequency (%)
0.12	4	8.0%
0.23	3	6.0%
0.15	2	4.0%
0.03	2	4.0%
0.27	2	4.0%
0.06	2	4.0%
0.29	2	4.0%
0.08	2	4.0%
0.17	2	4.0%
0.34	1	2.0%
Other values (28)	28	56.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.01	1	2.0%
0.02	1	2.0%
0.03	2	4.0%
0.05	1	2.0%
0.06	2	4.0%
0.08	2	4.0%
0.09	1	2.0%
0.11	1	2.0%
0.12	4	8.0%
0.13	1	2.0%

Value	Count	Frequency (%)
3.78	1	2.0%
3.21	1	2.0%
2.07	1	2.0%
0.93	1	2.0%
0.74	1	2.0%
0.67	1	2.0%
0.61	1	2.0%
0.49	1	2.0%
0.42	1	2.0%
0.38	1	2.0%

Behavioral_Score
Real number (ℝ)

Distinct	32
Distinct (%)	64.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	63.1

Minimum	41
Maximum	99
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	528.0 B

Quantile statistics

Minimum	41
5-th percentile	41
Q1	46.25
median	61.5
Q3	75.75
95-th percentile	97
Maximum	99
Range	58
Interquartile range (IQR)	29.5

Descriptive statistics

Standard deviation	18.227866
Coefficient of variation (CV)	0.28887268
Kurtosis	-0.86968099
Mean	63.1
Median Absolute Deviation (MAD)	15
Skewness	0.48016272
Sum	3155
Variance	332.2551
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=32)

Value	Count	Frequency (%)
41	4	8.0%
77	3	6.0%
47	3	6.0%
42	3	6.0%
97	2	4.0%
75	2	4.0%
71	2	4.0%
72	2	4.0%
43	2	4.0%
78	2	4.0%
Other values (22)	25	50.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
41	4	8.0%
42	3	6.0%
43	2	4.0%
44	1	2.0%
45	2	4.0%
46	1	2.0%
47	3	6.0%
48	1	2.0%
50	1	2.0%
52	2	4.0%

Value	Count	Frequency (%)
99	1	2.0%
98	1	2.0%
97	2	4.0%
96	1	2.0%
92	1	2.0%
90	1	2.0%
78	2	4.0%
77	3	6.0%
76	1	2.0%
75	2	4.0%

Credit_Risk
Categorical

Distinct	2
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	3.1 KiB

Good	30
Bad	20

Length

Max length	4
Median length	4
Mean length	3.6
Min length	3

Characters and Unicode

Total characters	180
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Good
2nd row	Good
3rd row	Good
4th row	Good
5th row	Good

Common Values

Value	Count	Frequency (%)
Good	30	60.0%
Bad	20	40.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
good	30	60.0%
bad	20	40.0%

Most occurring characters

Value	Count	Frequency (%)
o	60	33.3%
d	50	27.8%
G	30	16.7%
B	20	11.1%
a	20	11.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	130	72.2%
Uppercase Letter	50	27.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	60	46.2%
d	50	38.5%
a	20	15.4%

Uppercase Letter

Value	Count	Frequency (%)
G	30	60.0%
B	20	40.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	180	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	60	33.3%
d	50	27.8%
G	30	16.7%
B	20	11.1%
a	20	11.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	180	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	60	33.3%
d	50	27.8%
G	30	16.7%
B	20	11.1%
a	20	11.1%

Auto

Heatmap
Table

	Age	Residence_Years	Monthly_Income	Experience_Years	Monthly_Spending	Savings_Balance	Credit_Amount	Installment_Rate	Account_Tenure_Months	Monthly_Transactions_Count	Avg_Transaction_Value	Number_Credit_Inquiries_6mo	Credit_Limit	Revolving_Balance	Spending_to_Income_Ratio	Loan_to_Income_Ratio	Credit_Utilization_Ratio	Behavioral_Score	Customer_ID	Gender	Marital_Status	Dependents	Education_Level	Employment_Status	Job_Type	Loan_Purpose	Credit_Card_Usage	Payment_History	Other_Loans	Default_History	Checking_Account_Status	Savings_Account_Status	Property	Housing	Foreign_Worker	Mobile_Banking_Active	Auto_Pay_Enabled	Num_Products_With_Bank	Insurance_Coverage	Financial_Literacy_Score	Region	Employment_Industry	Days_Since_Last_Default	Credit_Risk
Age	1.000	-0.063	-0.084	-0.018	-0.035	-0.037	-0.045	0.191	-0.134	-0.018	0.025	-0.117	0.021	0.271	-0.015	0.019	0.195	0.257	1.000	0.227	0.042	0.000	0.000	0.000	0.092	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.175	0.346	0.000	0.176	0.216	0.209	0.000	0.182	0.000	0.000	0.000	0.168
Residence_Years	-0.063	1.000	0.030	0.082	-0.390	-0.236	-0.035	-0.069	0.164	0.004	-0.008	-0.147	0.106	-0.140	-0.317	-0.103	-0.126	-0.030	1.000	0.231	0.000	0.000	0.000	0.000	0.146	0.134	0.000	0.379	0.360	0.000	0.242	0.300	0.191	0.000	0.000	0.000	0.094	0.099	0.000	0.163	0.189	0.000	0.000	0.000
Monthly_Income	-0.084	0.030	1.000	-0.200	-0.113	-0.030	-0.109	0.116	0.239	0.138	0.083	0.113	-0.212	-0.029	-0.682	-0.607	0.098	0.097	1.000	0.344	0.000	0.000	0.000	0.000	0.000	0.315	0.098	0.000	0.000	0.076	0.000	0.315	0.000	0.295	0.384	0.412	0.000	0.000	0.223	0.215	0.000	0.000	0.000	0.590
Experience_Years	-0.018	0.082	-0.200	1.000	-0.142	-0.150	-0.127	-0.113	0.092	-0.224	0.137	0.128	-0.079	0.065	-0.010	-0.004	0.169	0.074	1.000	0.350	0.000	0.000	0.322	0.125	0.000	0.161	0.162	0.000	0.000	0.306	0.000	0.000	0.000	0.000	0.410	0.000	0.000	0.024	0.000	0.000	0.249	0.252	0.000	0.000
Monthly_Spending	-0.035	-0.390	-0.113	-0.142	1.000	0.227	-0.080	0.232	-0.138	0.193	-0.090	0.008	-0.237	-0.357	0.753	0.018	-0.154	-0.033	1.000	0.326	0.109	0.000	0.061	0.275	0.000	0.159	0.074	0.307	0.000	0.000	0.000	0.156	0.000	0.000	0.000	0.000	0.232	0.181	0.000	0.000	0.128	0.208	0.000	0.219
Savings_Balance	-0.037	-0.236	-0.030	-0.150	0.227	1.000	-0.062	-0.137	0.087	-0.099	-0.123	-0.092	0.120	-0.143	0.209	0.004	-0.247	0.027	1.000	0.000	0.199	0.000	0.182	0.000	0.194	0.171	0.123	0.000	0.224	0.000	0.000	0.000	0.000	0.298	0.093	0.227	0.265	0.258	0.000	0.000	0.295	0.099	0.000	0.000
Credit_Amount	-0.045	-0.035	-0.109	-0.127	-0.080	-0.062	1.000	-0.093	0.049	0.013	-0.091	-0.031	0.035	-0.073	0.015	0.813	-0.001	-0.217	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.319	0.000	0.000	0.195	0.000	0.000	0.203	0.141	0.384	0.226	0.000	0.069	0.187	0.147	0.101	0.000	0.000	0.362
Installment_Rate	0.191	-0.069	0.116	-0.113	0.232	-0.137	-0.093	1.000	-0.202	0.282	-0.043	0.026	-0.074	0.105	0.101	-0.146	0.137	0.274	1.000	0.000	0.000	0.000	0.000	0.000	0.207	0.150	0.000	0.107	0.187	0.156	0.126	0.081	0.309	0.000	0.309	0.000	0.000	0.213	0.000	0.000	0.000	0.000	0.000	0.000
Account_Tenure_Months	-0.134	0.164	0.239	0.092	-0.138	0.087	0.049	-0.202	1.000	-0.190	0.231	-0.245	0.038	0.122	-0.205	-0.084	0.049	0.111	1.000	0.290	0.000	0.118	0.000	0.000	0.046	0.182	0.231	0.191	0.284	0.000	0.000	0.141	0.266	0.000	0.158	0.333	0.000	0.000	0.000	0.000	0.000	0.096	0.072	0.000
Monthly_Transactions_Count	-0.018	0.004	0.138	-0.224	0.193	-0.099	0.013	0.282	-0.190	1.000	0.134	0.056	-0.059	0.000	0.036	-0.049	0.026	0.067	1.000	0.386	0.530	0.000	0.254	0.000	0.143	0.000	0.000	0.195	0.000	0.000	0.000	0.101	0.000	0.209	0.246	0.170	0.286	0.208	0.100	0.088	0.179	0.000	0.131	0.000
Avg_Transaction_Value	0.025	-0.008	0.083	0.137	-0.090	-0.123	-0.091	-0.043	0.231	0.134	1.000	-0.104	-0.118	0.084	-0.083	-0.114	0.079	-0.155	1.000	0.000	0.191	0.000	0.165	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.172	0.346	0.034	0.000	0.070	0.187	0.090	0.000	0.212	0.133	0.000	0.000
Number_Credit_Inquiries_6mo	-0.117	-0.147	0.113	0.128	0.008	-0.092	-0.031	0.026	-0.245	0.056	-0.104	1.000	-0.111	-0.120	-0.041	-0.075	0.018	-0.096	1.000	0.113	0.000	0.000	0.000	0.094	0.000	0.109	0.000	0.069	0.222	0.190	0.088	0.224	0.000	0.168	0.000	0.000	0.000	0.193	0.000	0.000	0.000	0.103	0.000	0.000
Credit_Limit	0.021	0.106	-0.212	-0.079	-0.237	0.120	0.035	-0.074	0.038	-0.059	-0.118	-0.111	1.000	-0.020	0.018	0.146	-0.607	0.048	1.000	0.529	0.000	0.000	0.000	0.000	0.105	0.187	0.147	0.383	0.000	0.000	0.000	0.000	0.172	0.000	0.000	0.154	0.200	0.000	0.202	0.000	0.132	0.274	0.136	0.249
Revolving_Balance	0.271	-0.140	-0.029	0.065	-0.357	-0.143	-0.073	0.105	0.122	0.000	0.084	-0.120	-0.020	1.000	-0.232	0.033	0.752	0.176	1.000	0.264	0.000	0.000	0.135	0.145	0.156	0.140	0.254	0.103	0.000	0.424	0.371	0.000	0.222	0.000	0.000	0.335	0.000	0.149	0.000	0.000	0.331	0.049	0.000	0.215
Spending_to_Income_Ratio	-0.015	-0.317	-0.682	-0.010	0.753	0.209	0.015	0.101	-0.205	0.036	-0.083	-0.041	0.018	-0.232	1.000	0.411	-0.215	-0.116	1.000	0.088	0.000	0.236	0.161	0.136	0.000	0.000	0.343	0.000	0.000	0.399	0.000	0.213	0.000	0.219	0.000	0.117	0.000	0.213	0.256	0.000	0.064	0.000	0.051	0.402
Loan_to_Income_Ratio	0.019	-0.103	-0.607	-0.004	0.018	0.004	0.813	-0.146	-0.084	-0.049	-0.114	-0.075	0.146	0.033	0.411	1.000	-0.011	-0.242	1.000	0.000	0.423	0.000	0.000	0.000	0.281	0.169	0.056	0.000	0.000	0.000	0.000	0.025	0.058	0.089	0.000	0.277	0.190	0.118	0.355	0.000	0.263	0.090	0.000	0.669
Credit_Utilization_Ratio	0.195	-0.126	0.098	0.169	-0.154	-0.247	-0.001	0.137	0.049	0.026	0.079	0.018	-0.607	0.752	-0.215	-0.011	1.000	0.121	1.000	0.000	0.000	0.132	0.000	0.000	0.131	0.090	0.000	0.000	0.000	0.000	0.043	0.000	0.000	0.222	0.000	0.000	0.000	0.000	0.086	0.209	0.103	0.000	0.000	0.000
Behavioral_Score	0.257	-0.030	0.097	0.074	-0.033	0.027	-0.217	0.274	0.111	0.067	-0.155	-0.096	0.048	0.176	-0.116	-0.242	0.121	1.000	1.000	0.000	0.000	0.166	0.125	0.341	0.083	0.000	0.257	0.000	0.000	0.000	0.284	0.000	0.000	0.276	0.000	0.384	0.275	0.000	0.000	0.000	0.000	0.000	0.229	0.292
Customer_ID	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000
Gender	0.227	0.231	0.344	0.350	0.326	0.000	0.000	0.000	0.290	0.386	0.000	0.113	0.529	0.264	0.088	0.000	0.000	0.000	1.000	1.000	0.138	0.223	0.000	0.235	0.000	0.112	0.073	0.000	0.000	0.000	0.000	0.366	0.000	0.000	0.000	0.000	0.000	0.000	0.033	0.000	0.264	0.000	0.000	0.000
Marital_Status	0.042	0.000	0.000	0.000	0.109	0.199	0.000	0.000	0.000	0.530	0.191	0.000	0.000	0.000	0.000	0.423	0.000	0.000	1.000	0.138	1.000	0.000	0.193	0.000	0.172	0.000	0.064	0.000	0.000	0.204	0.177	0.000	0.000	0.184	0.307	0.000	0.065	0.000	0.000	0.000	0.045	0.153	0.000	0.000
Dependents	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.118	0.000	0.000	0.000	0.000	0.000	0.236	0.000	0.132	0.166	1.000	0.223	0.000	1.000	0.158	0.139	0.057	0.000	0.184	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.161	0.000	0.000	0.000	0.110	0.072	0.114	0.252	0.000	0.000
Education_Level	0.000	0.000	0.000	0.322	0.061	0.182	0.000	0.000	0.000	0.254	0.165	0.000	0.000	0.135	0.161	0.000	0.000	0.125	1.000	0.000	0.193	0.158	1.000	0.124	0.000	0.000	0.000	0.166	0.000	0.298	0.124	0.176	0.000	0.000	0.101	0.000	0.349	0.000	0.065	0.000	0.234	0.000	0.194	0.000
Employment_Status	0.000	0.000	0.000	0.125	0.275	0.000	0.000	0.000	0.000	0.000	0.000	0.094	0.000	0.145	0.136	0.000	0.000	0.341	1.000	0.235	0.000	0.139	0.124	1.000	0.000	0.000	0.000	0.065	0.000	0.231	0.130	0.276	0.000	0.090	0.000	0.000	0.000	0.000	0.232	0.000	0.182	0.000	0.239	0.000
Job_Type	0.092	0.146	0.000	0.000	0.000	0.194	0.000	0.207	0.046	0.143	0.000	0.000	0.105	0.156	0.000	0.281	0.131	0.083	1.000	0.000	0.172	0.057	0.000	0.000	1.000	0.000	0.000	0.000	0.150	0.000	0.092	0.055	0.301	0.254	0.151	0.000	0.207	0.124	0.000	0.000	0.000	0.168	0.087	0.112
Loan_Purpose	0.000	0.134	0.315	0.161	0.159	0.171	0.000	0.150	0.182	0.000	0.000	0.109	0.187	0.140	0.000	0.169	0.090	0.000	1.000	0.112	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.014	0.105	0.000	0.000	0.000	0.000	0.242	0.000	0.182	0.000	0.188	0.313
Credit_Card_Usage	0.000	0.000	0.098	0.162	0.074	0.123	0.319	0.000	0.231	0.000	0.000	0.000	0.147	0.254	0.343	0.056	0.000	0.257	1.000	0.073	0.064	0.184	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.138	0.000	0.333	0.000	0.000	0.073	0.104	0.066	0.000	0.142	0.176	0.000
Payment_History	0.000	0.379	0.000	0.000	0.307	0.000	0.000	0.107	0.191	0.195	0.000	0.069	0.383	0.103	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.166	0.065	0.000	0.000	0.000	1.000	0.000	0.130	0.283	0.000	0.000	0.092	0.000	0.214	0.158	0.226	0.128	0.000	0.000	0.000	0.313	0.303
Other_Loans	0.000	0.360	0.000	0.000	0.000	0.224	0.000	0.187	0.284	0.000	0.000	0.222	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.150	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.166	0.000	0.000	0.000	0.000	0.000
Default_History	0.000	0.000	0.076	0.306	0.000	0.000	0.195	0.156	0.000	0.000	0.000	0.190	0.000	0.424	0.399	0.000	0.000	0.000	1.000	0.000	0.204	0.000	0.298	0.231	0.000	0.000	0.000	0.130	0.000	1.000	0.079	0.228	0.091	0.343	0.000	0.000	0.000	0.060	0.000	0.000	0.000	0.117	0.046	0.250
Checking_Account_Status	0.000	0.242	0.000	0.000	0.000	0.000	0.000	0.126	0.000	0.000	0.000	0.088	0.000	0.371	0.000	0.000	0.043	0.284	1.000	0.000	0.177	0.000	0.124	0.130	0.092	0.000	0.000	0.283	0.000	0.079	1.000	0.199	0.264	0.000	0.000	0.261	0.000	0.226	0.000	0.075	0.000	0.000	0.143	0.147
Savings_Account_Status	0.000	0.300	0.315	0.000	0.156	0.000	0.000	0.081	0.141	0.101	0.000	0.224	0.000	0.000	0.213	0.025	0.000	0.000	1.000	0.366	0.000	0.000	0.176	0.276	0.055	0.000	0.000	0.000	0.000	0.228	0.199	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.092	0.199	0.000	0.000
Property	0.175	0.191	0.000	0.000	0.000	0.000	0.203	0.309	0.266	0.000	0.172	0.000	0.172	0.222	0.000	0.058	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.301	0.014	0.138	0.000	0.000	0.091	0.264	0.000	1.000	0.341	0.287	0.083	0.000	0.000	0.000	0.073	0.243	0.000	0.110	0.297
Housing	0.346	0.000	0.295	0.000	0.000	0.298	0.141	0.000	0.000	0.209	0.346	0.168	0.000	0.000	0.219	0.089	0.222	0.276	1.000	0.000	0.184	0.000	0.000	0.090	0.254	0.105	0.000	0.092	0.000	0.343	0.000	0.000	0.341	1.000	0.000	0.000	0.000	0.139	0.000	0.069	0.076	0.224	0.000	0.193
Foreign_Worker	0.000	0.000	0.384	0.410	0.000	0.093	0.384	0.309	0.158	0.246	0.034	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.307	0.161	0.101	0.000	0.151	0.000	0.333	0.000	0.000	0.000	0.000	0.000	0.287	0.000	1.000	0.056	0.000	0.000	0.000	0.333	0.000	0.065	0.000	0.000
Mobile_Banking_Active	0.176	0.000	0.412	0.000	0.000	0.227	0.226	0.000	0.333	0.170	0.000	0.000	0.154	0.335	0.117	0.277	0.000	0.384	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.214	0.000	0.000	0.261	0.000	0.083	0.000	0.056	1.000	0.000	0.000	0.133	0.044	0.205	0.333	0.000	0.098
Auto_Pay_Enabled	0.216	0.094	0.000	0.000	0.232	0.265	0.000	0.000	0.000	0.286	0.070	0.000	0.200	0.000	0.000	0.190	0.000	0.275	1.000	0.000	0.065	0.000	0.349	0.000	0.207	0.000	0.000	0.158	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.149	0.000	0.000	0.000	0.100	0.147
Num_Products_With_Bank	0.209	0.099	0.000	0.024	0.181	0.258	0.069	0.213	0.000	0.208	0.187	0.193	0.000	0.149	0.213	0.118	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.124	0.000	0.073	0.226	0.000	0.060	0.226	0.000	0.000	0.139	0.000	0.000	0.000	1.000	0.000	0.000	0.228	0.000	0.000	0.000
Insurance_Coverage	0.000	0.000	0.223	0.000	0.000	0.000	0.187	0.000	0.000	0.100	0.090	0.000	0.202	0.000	0.256	0.355	0.086	0.000	1.000	0.033	0.000	0.110	0.065	0.232	0.000	0.242	0.104	0.128	0.166	0.000	0.000	0.000	0.000	0.000	0.000	0.133	0.149	0.000	1.000	0.000	0.139	0.000	0.097	0.358
Financial_Literacy_Score	0.182	0.163	0.215	0.000	0.000	0.000	0.147	0.000	0.000	0.088	0.000	0.000	0.000	0.000	0.000	0.000	0.209	0.000	1.000	0.000	0.000	0.072	0.000	0.000	0.000	0.000	0.066	0.000	0.000	0.000	0.075	0.000	0.073	0.069	0.333	0.044	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000
Region	0.000	0.189	0.000	0.249	0.128	0.295	0.101	0.000	0.000	0.179	0.212	0.000	0.132	0.331	0.064	0.263	0.103	0.000	1.000	0.264	0.045	0.114	0.234	0.182	0.000	0.182	0.000	0.000	0.000	0.000	0.000	0.092	0.243	0.076	0.000	0.205	0.000	0.228	0.139	0.000	1.000	0.000	0.000	0.000
Employment_Industry	0.000	0.000	0.000	0.252	0.208	0.099	0.000	0.000	0.096	0.000	0.133	0.103	0.274	0.049	0.000	0.090	0.000	0.000	1.000	0.000	0.153	0.252	0.000	0.000	0.168	0.000	0.142	0.000	0.000	0.117	0.000	0.199	0.000	0.224	0.065	0.333	0.000	0.000	0.000	0.000	0.000	1.000	0.215	0.000
Days_Since_Last_Default	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.072	0.131	0.000	0.000	0.136	0.000	0.051	0.000	0.000	0.229	1.000	0.000	0.000	0.000	0.194	0.239	0.087	0.188	0.176	0.313	0.000	0.046	0.143	0.000	0.110	0.000	0.000	0.000	0.100	0.000	0.097	0.000	0.000	0.215	1.000	0.000
Credit_Risk	0.168	0.000	0.590	0.000	0.219	0.000	0.362	0.000	0.000	0.000	0.000	0.000	0.249	0.215	0.402	0.669	0.000	0.292	1.000	0.000	0.000	0.000	0.000	0.000	0.112	0.313	0.000	0.303	0.000	0.250	0.147	0.000	0.297	0.193	0.000	0.098	0.147	0.000	0.358	0.000	0.000	0.000	0.000	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	Customer_ID	Age	Gender	Marital_Status	Dependents	Residence_Years	Education_Level	Employment_Status	Job_Type	Monthly_Income	Experience_Years	Loan_Purpose	Monthly_Spending	Savings_Balance	Credit_Amount	Installment_Rate	Credit_Card_Usage	Payment_History	Other_Loans	Default_History	Checking_Account_Status	Savings_Account_Status	Property	Housing	Foreign_Worker	Account_Tenure_Months	Monthly_Transactions_Count	Avg_Transaction_Value	Mobile_Banking_Active	Auto_Pay_Enabled	Number_Credit_Inquiries_6mo	Credit_Limit	Revolving_Balance	Num_Products_With_Bank	Insurance_Coverage	Financial_Literacy_Score	Region	Employment_Industry	Days_Since_Last_Default	Spending_to_Income_Ratio	Loan_to_Income_Ratio	Credit_Utilization_Ratio	Behavioral_Score	Credit_Risk
0	C001	59	Male	Single	0	14	High School	Salaried	Sales	130235	19	Car	34065	264214	448929	31.50	Medium	Good	No	No	<50K	None	None	Own	No	176	98	35157	Yes	Yes	2	1651405	242997	2	None	Medium	South	Finance	0	0.26	3.45	0.15	97	Good
1	C002	49	Female	Married	4	2	Graduate	Salaried	Manager	104740	23	Personal	103092	844070	630466	18.22	Medium	Good	No	No	<50K	<50K	Real Estate	Family	No	173	53	12593	Yes	Yes	0	129083	488533	4	None	Medium	North	IT	0	0.98	6.02	3.78	96	Good
2	C003	35	Male	Single	3	5	Graduate	Self-employed	Manager	255913	11	Business	69693	975240	623695	13.44	Medium	Good	No	No	<50K	50K–200K	Real Estate	Own	No	223	7	41042	Yes	No	1	608819	96347	4	Comprehensive	Medium	East	Healthcare	0	0.27	2.44	0.16	52	Good
3	C004	63	Female	Married	3	12	High School	Salaried	Engineer	207247	34	Business	41962	506108	513556	12.18	Medium	Average	Yes	No	<50K	<50K	None	Family	Yes	188	49	18320	Yes	Yes	3	1369432	310931	3	None	High	East	Manufacturing	0	0.20	2.48	0.23	64	Good
4	C005	28	Male	Single	3	10	High School	Salaried	Technician	168877	32	Car	43295	639421	625278	13.80	Medium	Good	No	No	50K–100K	<50K	None	Own	Yes	220	18	28376	No	Yes	5	1464821	297632	3	Comprehensive	Low	South	Education	0	0.26	3.70	0.20	41	Good
5	C006	41	Female	Widowed	3	6	PhD	Salaried	Clerk	35237	32	Furniture	28807	373501	1043176	14.62	Medium	Good	No	No	>100K	<50K	Real Estate	Rent	Yes	113	34	44513	Yes	No	6	1950463	336585	4	Basic	Low	East	Other	0	0.82	29.60	0.17	74	Bad
6	C007	59	Male	Married	3	7	Graduate	Self-employed	Manager	50056	11	Furniture	172504	729226	1228049	12.25	Low	Average	Yes	No	<50K	50K–200K	None	Own	No	44	118	15199	No	No	1	1697608	205735	4	Basic	Low	South	Other	0	3.45	24.53	0.12	46	Bad
7	C008	39	Male	Single	2	4	High School	Unemployed	Engineer	206615	2	Personal	147396	155159	1033049	35.74	Medium	Good	No	No	<50K	>200K	None	Own	Yes	20	72	16876	No	Yes	4	827147	22431	2	Basic	High	South	Healthcare	0	0.71	5.00	0.03	60	Good
8	C009	43	Female	Single	1	7	PhD	Retired	Teacher	217628	0	Car	106267	177502	528007	31.49	Medium	Good	No	No	<50K	<50K	None	Own	No	125	22	9245	Yes	No	2	1098382	323825	2	Basic	Medium	South	Other	0	0.49	2.43	0.29	57	Good
9	C010	31	Male	Married	3	11	PhD	Salaried	Engineer	144548	32	Business	34870	160576	894573	6.64	High	Good	No	No	50K–100K	50K–200K	Car	Rent	No	9	66	8214	No	No	7	704037	194555	3	Comprehensive	Medium	South	IT	300	0.24	6.19	0.28	42	Good

	Customer_ID	Age	Gender	Marital_Status	Dependents	Residence_Years	Education_Level	Employment_Status	Job_Type	Monthly_Income	Experience_Years	Loan_Purpose	Monthly_Spending	Savings_Balance	Credit_Amount	Installment_Rate	Credit_Card_Usage	Payment_History	Other_Loans	Default_History	Checking_Account_Status	Savings_Account_Status	Property	Housing	Foreign_Worker	Account_Tenure_Months	Monthly_Transactions_Count	Avg_Transaction_Value	Mobile_Banking_Active	Auto_Pay_Enabled	Number_Credit_Inquiries_6mo	Credit_Limit	Revolving_Balance	Num_Products_With_Bank	Insurance_Coverage	Financial_Literacy_Score	Region	Employment_Industry	Days_Since_Last_Default	Spending_to_Income_Ratio	Loan_to_Income_Ratio	Credit_Utilization_Ratio	Behavioral_Score	Credit_Risk
40	C041	59	Female	Divorced	0	1	Graduate	Salaried	Clerk	39540	22	Education	108396	322428	765460	32.88	Medium	Poor	No	No	>100K	>200K	Real Estate	Rent	No	21	56	24265	Yes	Yes	1	643586	395141	5	Basic	Medium	North	Other	0	2.74	19.36	0.61	47	Bad
41	C042	38	Male	Single	2	8	Graduate	Salaried	Technician	46364	31	Education	36732	324187	934574	21.08	Medium	Average	No	No	<50K	>200K	Real Estate	Family	Yes	189	8	26931	Yes	No	2	1931175	215048	5	None	High	North	Other	0	0.79	20.16	0.11	42	Bad
42	C043	24	Female	Married	0	7	Graduate	Salaried	Sales	57663	11	Furniture	106362	695907	1763796	34.47	Low	Good	No	No	<50K	<50K	Real Estate	Family	No	126	63	29841	Yes	No	3	1829240	236293	1	Comprehensive	Medium	North	Manufacturing	0	1.84	30.59	0.13	42	Bad
43	C044	45	Male	Married	1	2	High School	Unemployed	Manager	81991	12	Car	176426	888439	285365	31.91	Low	Poor	No	Yes	>100K	50K–200K	Real Estate	Family	No	15	76	30192	Yes	Yes	5	1535200	117832	4	Basic	Medium	North	Manufacturing	900	2.15	3.48	0.08	61	Bad
44	C045	34	Female	Single	1	8	Graduate	Salaried	Manager	218751	22	Personal	28843	87844	392786	7.32	Low	Good	No	No	50K–100K	<50K	Car	Rent	No	163	24	47542	Yes	No	6	1138075	392550	1	None	High	West	Other	0	0.13	1.80	0.34	45	Good
45	C046	29	Male	Single	3	1	PhD	Salaried	Teacher	192049	24	Personal	129065	556820	1149188	6.61	Medium	Poor	Yes	No	No account	<50K	Real Estate	Own	No	158	97	43520	Yes	No	0	1486536	125150	5	None	Low	North	Finance	300	0.67	5.98	0.08	41	Bad
46	C047	46	Male	Single	4	11	Graduate	Salaried	Manager	124704	34	Education	86726	170421	860006	26.73	High	Good	Yes	No	>100K	50K–200K	Real Estate	Own	No	108	67	16585	Yes	No	5	495485	157087	2	None	Medium	North	IT	0	0.70	6.90	0.32	62	Good
47	C048	22	Female	Single	0	12	Postgraduate	Salaried	Teacher	79115	29	Car	32640	127402	1908532	17.16	Medium	Average	No	No	<50K	50K–200K	Car	Own	No	89	58	26559	No	No	5	1792495	33320	5	Basic	Medium	North	Education	0	0.41	24.12	0.02	41	Bad
48	C049	40	Female	Divorced	0	9	Graduate	Salaried	Engineer	249295	16	Education	67528	123012	250244	12.32	Low	Average	No	No	50K–100K	<50K	None	Own	No	138	119	41059	Yes	No	6	1343774	327025	4	None	High	North	Manufacturing	0	0.27	1.00	0.24	77	Good
49	C050	48	Male	Married	2	9	Graduate	Self-employed	Clerk	221962	19	Business	53413	443661	1895924	25.29	High	Average	No	No	<50K	50K–200K	Real Estate	Own	No	70	113	34742	Yes	Yes	0	1566111	90827	5	Comprehensive	Low	East	Manufacturing	900	0.24	8.54	0.06	56	Good

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Uppercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter